@InProceedings{CarrascoPereiraCamaRudoMore:2005:ApAgFo,
               author = "Carrasco Pereira, Pablo Fernando and Camargo Arce, Ervin and 
                         Rudorff, Bernardo Friedrich Theodor and Moreira, Jos{\'e} 
                         Carlos",
          affiliation = "{} and Prefectura del Departamento de Santa Cruz, Bolivia and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Aplicaciones agr{\'{\i}}colas y forestales de las bandas 3 y 4 
                         del sensor CCD en combinaci{\'o}n con la banda 2 del sensor 
                         IR-MSS del sat{\'e}lite CBERS",
            booktitle = "Anais...",
                 year = "2005",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "857--864",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "spectral bands, shortwave infrared, color composition, bandas 
                         espectrais, infravermelho m{\'e}dio, composi{\c{c}}{\~a}o 
                         colorida.",
             abstract = "It is well known that the most widely used multispectral image 
                         composition for agricultural and forestry application is the 
                         classic R4 G5 B3 color composition from Landsat. The payload of 
                         CBERS-2 consists of three sensors with different and complementary 
                         characteristics. Although, most applications with CBERS images use 
                         CCD images and take no advantage of band 2 (SWIR) form IRMSS 
                         sensor; which may be attributed to differences in spatial 
                         resolution between these sensors. Therefore, the objective of this 
                         work is to demonstrate that CBERS data can generate the 
                         traditional and classic Landsat R4 G5 B3 composition by resampling 
                         the IRMSS band 2 from 80 to 20m and combining this band with band 
                         3 (red) and 4 (NIR) from the CCD sensor. Several examples are 
                         provided to illustrate the relevance of the SWIR band for 
                         agricultural and forestry applications. Results indicated that the 
                         band combination from different sensors with different spatial 
                         resolution but complementary spectral bands from the CBERS 
                         satellite is feasible, providing significant advantages for 
                         agricultural and forestry applications.",
  conference-location = "Goi{\^a}nia",
      conference-year = "16-21 abr. 2005",
                 isbn = "85-17-00018-8",
             language = "Espanhol",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2004/11.20.20.24",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.20.20.24",
           targetfile = "857.pdf",
                 type = "Avalia{\c{c}}{\~a}o e Aplica{\c{c}}{\~o}es do CBERS",
        urlaccessdate = "08 maio 2024"
}